The Art of SQL Dedication Preface Why Another SQL Book? Audience Assumptions This Book Makes Contents of This Book Conventions Used in This Book Using Code Examples Comments and Questions Safari® Enabled Acknowledgments Chapter 1. Laying Plans Secti
Overview The Insider's Guide to Building Breakthrough Services with Today's New Web Services PlatformUsing today's new Web services platform, you can build services that are secure, reliable, efficient at handling transactions, and well suited to yo
Get the critical, in-depth information you need to administer SharePoint 2010. Led by SharePoint MVPs and featuring insights from the SharePoint community and members of the SharePoint Team at Microsoft, you'll discover how to plan, design, deploy,
scribe-2.2.tar.gz 下载地址： https://github.com/facebook/scribe Scribe is a server for aggregating log data streamed in real time from a large number of servers. It is designed to be scalable, extensible without client-side modification, and robust to fa
Scribe is a server for aggregating log data streamed in real time from a large number of servers. It is designed to be scalable, extensible without client-side modification, and robust to failure of the network or any specific machine.
Scribe is a server for aggregating log data streamed in real time from a large number of servers. It is designed to be scalable, extensible without client-side modification, and robust to failure of the network or any specific machine.
这是一本MDX非常好的书籍！ Acknowledgments xxi Introduction xxiii Chapter 1 A First Introduction to MDX 1 What Is MDX? 1 Query Basics 2 Axis Framework: Names and Numbering 5 Case Sensitivity and Layout 6 Simple MDX Construction 7 Comma (,) and Colon (:) 7 .Memb
Some geometric aggregating operator and their application to dynamic multiple attribute decision making in intuitionistic fuzzy setting，卫贵武，，The dynamic multi-attribute decision making problems with intuitionistic fuzzy information are investigated.
Aggregating Deep Convolutional Features for Image Retrieval.pdf
Aggregating Deep Convolutional Features for Image Retrieval.pdf
Aggregating Deep Convolutional Features for Image Retrieval.pdf
